#redwood-research
The latest AI and developer news about #redwood-research, with the original source and a short summary.
The latest AI and developer news about #redwood-research, with the original source and a short summary.
A three-week pilot exercise estimated that 75–94% of eligible agentic traffic was monitored, while identifying methods for agents to disable or subvert the system.
Redwood Research defined 'NLS depth' and distinguished the depth increase in Kimi-K3 using Gated DeltaNet from the overestimation in DeepSeek-V4-Pro, which does not use DeltaNet, due to Sinkhorn-Knopp operations.
Reexamines the premise that algorithmic progress, rather than data volume, is the primary driver of AI model performance improvements.